Article detection method and apparatus

A technology for item detection and item application in the computer field, which can solve problems such as low accuracy, missed detection, and wrong detection, and achieve the effects of improving accuracy, reducing false detection, and avoiding manual inspection

Active Publication Date: 2018-04-13
ZHEJIANG DAHUA TECH CO LTD
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Problems solved by technology

[0005] The present invention provides a method and equipment for object detection, which is used to solve the problem of lo

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  • Article detection method and apparatus
  • Article detection method and apparatus
  • Article detection method and apparatus

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Embodiment Construction

[0033] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments . Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0034] like figure 1 As shown, a method for object detection provided by an embodiment of the present invention includes:

[0035] Step 100, extract the features of the item in the target image through a plurality of different feature neural networks, and obtain the feature image corresponding to each neural network, wherein the multiple different feature neural networks have been trained on different scales of the same item;

[0036] Step...

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Abstract

The invention discloses an article detection method and apparatus. The invention aims to solve the problem of low accuracy of human eye-based identification which is caused by misdetection and misseddetection caused by the fatigue of human eyes. According to the embodiments of the present invention, the method includes the following steps that: a plurality of different neural networks are adoptedto extract article features in a target image, so that feature images corresponding to each neural network are obtained; the feature images corresponding to each neural network are subjected to feature fusion, so that a fused image can be obtained; and the fused image is matched with an image corresponding to a preset item, and an item included in the target image is determined according to a matching result. Since the neural networks are adopted to realize the method provided by the embodiments, manual inspection is avoided, and therefore, the phenomena of misdetection and missed detection are reduced, and accuracy is improved.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method and equipment for object detection. Background technique [0002] In recent years, the passenger flow of subways, high-speed rails, and airplanes has increased, and safety issues have also attracted people's attention. In order to prevent passengers from carrying dangerous goods on the train or plane, security inspection machines are currently installed at various entry gates to conduct security checks on the packages carried by passengers, so that guns, knives, firecrackers and other dangerous goods can be found in time. [0003] The current mainstream security detection method is mainly the traditional, all-weather human eye identification method. Among them, the human eye identification method is to enable security personnel to check for prohibited items by observing the different colors displayed by different materials in the light pictures corresponding to passeng...

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Application Information

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IPC IPC(8): G06K9/62
CPCG06V2201/05G06F18/22G06F18/253
Inventor 陈媛媛伍敏薛迪秀
Owner ZHEJIANG DAHUA TECH CO LTD
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